[D] Using NLG techniques to convert facts or sentence fragments into paragraphs
I wondering what the state of the art is (and if there’s available open source software) to take a list of facts / sentence fragments and form a reasonable paragraph from them. For instance, if one wanted to take a list of subject-predictate-object triples and have a chat-bot express them as text, how would I do it? I’m familiar with libraries like SimpleNLG but this seems a bit archaic. Is there better open-source software available, or good paper’s I should check-out?